Job details
Job type full-time temporary
Full job description
Posting duration
This posting will be open for application submissions for a minimum of seven (7) calendar days, including the ‘posting date’Sandia reserves the right to extend the posting date at any time.
Covid-19 vaccination mandate
Sandia demonstrates its commitment to public safety in the national interest by requiring that all new hires attest to their vaccination status before commencing employmentThe requirement also applies to those who are telecommuting and working virtually.
Any concerns about the ability to meet this requirement should be directed to hr solutions at (505) 284-4700.
What your job will be like
We are seeking a postdoctoral appointee/scientist to apply machine learning to materials discovery! application areas may include materials for production, storage, and generation for hydrogen and other energy needs, as well as potential replacements for materials at risk of becoming unavailable for production needs.
A central theme in this effort is the rational design of new materials by changing the chemical composition, the arrangement of the atoms or molecules in crystalline or amorphous configurations, and the size, shape, and orientation of nanoparticles, films, crystals or other nano- or macroscopic units.
On any given day, you may be called on to:
Use interpretable machine learning techniques to discover new structure-function relationships, which will in-turn be used to design novel materials with properties and behavior that are enhanced over existing options
Capture data, extract features, and train machine learning models
Use active learning and active search techniques to iteratively discover better materials
Work with sparse, incomplete, and noisy data
Develop machine learning models that can approximate higher fidelity numerical simulations
Conduct research that would involve extensive collaboration with team members engaged in modeling, material synthesis, and use of advanced characterization tools
Play a major role in discovery of new materials, as well as advancing the science of these through the use of state of the art computational and data science tools
For additional information, please visit: http://energy.sandia.gov/transportation-energy/hydrogen/storage
Qualifications we require
Phd in a relevant stem field (e.gChemistry, materials science, physics) with a research emphasis of applying theory, computational methods, or machine learning to address materials science problems
Experience with one or more of the following computational techniques: machine learning, density functional theory, ab initio quantum chemistry, atomistic modeling and simulation
Strong written and oral communication skills, as demonstrated by a record of first-author or coauthored scientific publications in peer-reviewed journals and presentations at scientific conferences
Qualifications we desire
Hands-on experience modeling material systems (through, e.gDensity functional theory, monte carlo, molecular dynamics, or other modeling tools)
Experience in using data science and machine learning techniques for materials discovery
Experience with interpretable machine learning, active learning or genetic algorithms
Ability to hold a doe q security clearance
About our team
The energy nanomaterials department is a research organization specializing in the synthesis and characterization of nanomaterials for energy and national security applicationsProjects and capabilities in the department`s research portfolio include nanoporous materials for sensing, catalysis, energy harvesting, and gas storage; materials for energy and hydrogen storage; and nanoscale materials characterization including extensive electron microscopy, atomic force microscopy, nanoindentation instrumentation, and x-ray diffraction.
About sandia
Sandia national laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areasSome of the main reasons we love our jobs:
Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
Extraordinary co-workers
Some of the best tools, equipment, and research facilities in the world
Career advancement and enrichment opportunities
Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
Generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*
World-changing technologiesLife-changing careersLearn more about sandia at: http://www.sandia.gov
These benefits vary by job classification.
Security clearance
This position does not currently require a department of energy (doe) security clearance.
Sandia will conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verificationsFurthermore, employees in new mexico need to pass a u.sAir force background screen for access to kirtland air force baseSubstance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause access to be denied or terminated, resulting in the inability to perform the duties assigned and subsequent termination of employment.
If hired without a clearance and it subsequently becomes necessary to obtain and maintain one for the position, or you bid on positions that require a clearance, a pre-processing background review may be conducted prior to a required federal background investigationApplicants for a doe security clearance need to be u.sCitizensIf you hold more than one citizenship (i.e., of the u.sAnd another country), your ability to obtain a security clearance may be impacted.
Members of the workforce (mows) hired at sandia who require uncleared access for greater than 179 days during their employment, are required to go through the uncleared personal identity verification (upiv) processAccess includes physical and/or cyber (logical) access, as well as remote access to any nnsa information technology (it) systemsUpiv requirements are not applicable to individuals who require a doe personnel security clearance for the performance of their snl employment or to foreign nationalsThe upiv process will include the completion of a usaccess enrollment, sf-85 (questionnaire for non-sensitive positions) and of-306 (declaration of for federal employment)An unfavorable upiv determination will result in immediate retrieval of the snl issued badge, removal of cyber (logical) access and/or removal from snl subcontractAll mows may appeal the unfavorable upiv determination to doe/nnsa immediatelyIf the appeal is unsuccessful, the mow may try to go through the upiv process one year after the decision date.
Eeo
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.
Position information
This postdoctoral position is a temporary position for up to one year, which may be renewed at sandia`s discretion up to five additional yearsThe phd must have been conferred within five years prior to employment.
Individuals in postdoctoral positions may bid on regular sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance.
